Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES
Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari
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引用次数: 0

Abstract

Assessing water quality is essential for acquiring a better understanding of the importance of water in human society. In this study, the quality of groundwater resources in Jiroft city, Iran, using artificial intelligence methods to estimate the groundwater quality index (GWQI) was evaluated. The analysis of hydrochemical parameters, including arsenic (As), fluoride (F), nitrate (NO3), and nitrite (NO2), in 408 samples revealed that concentrations of F, NO3, and NO2 were below the WHO standard threshold, but levels of As exceeded the permissible value. The random forest model with the highest accuracy (R2 = 0.986) was the best prediction model, while logistic regression (R2 = 0.98), decision tree (R2 = 0.979), K-nearest neighbor (R2 = 0.968), artificial neural network (R2 = 0.955), and support vector machine (R2 = 0.928) predicted GWQI with lower accuracy. The non-carcinogenic risk assessment revealed that children had the highest hazard quotient for oral and dermal intake, with values ranging from 0.47 to 13.53 for oral intake and 0.001 to 0.05 for dermal intake. The excess lifetime cancer risk of arsenic for children, adult females, and males was found to be from 2.5 × 10–4 to 7.2 × 10–3, 1.2 × 10–4 to 3.6 × 10–3, and 4.3 × 10–5 to 1.2 × 10–3, respectively. This study suggests that any effort to reduce the arsenic levels in the Jiroft population should take into account the health hazards associated with exposure to arsenic through drinking water.

基于机器学习算法的伊朗吉罗夫特市地下水水质指标调查及水资源健康风险评价
评估水质对于更好地了解水在人类社会中的重要性至关重要。本研究以伊朗吉罗夫特市地下水资源为研究对象,采用人工智能方法估算地下水质量指数(GWQI),对地下水资源质量进行评价。对408份样本的水化学参数(砷、氟、硝、亚硝酸盐)分析显示,F、NO3、NO2的浓度均低于WHO标准阈值,而As的含量则超过了允许值。随机森林模型的预测准确率最高(R2 = 0.986), logistic回归(R2 = 0.98)、决策树(R2 = 0.979)、k近邻(R2 = 0.968)、人工神经网络(R2 = 0.955)和支持向量机(R2 = 0.928)预测GWQI的准确率较低。非致癌风险评估显示,儿童口服和皮肤摄入的风险商数最高,口服摄入的风险商数在0.47 - 13.53之间,皮肤摄入的风险商数在0.001 - 0.05之间。砷对儿童、成年女性和男性的终生过量致癌风险分别为2.5 × 10-4 ~ 7.2 × 10-3、1.2 × 10-4 ~ 3.6 × 10-3和4.3 × 10-5 ~ 1.2 × 10-3。这项研究表明,任何降低Jiroft人口中砷含量的努力都应考虑到与通过饮用水接触砷有关的健康危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
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